{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/haithamelmarakeby/PycharmProjects/pnet2'"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import sys\n",
    "import os\n",
    "from os.path import dirname, realpath, join\n",
    "base_dir = dirname(dirname(dirname(os.getcwd())))\n",
    "import itertools\n",
    "import pandas as pd\n",
    "from os.path import join\n",
    "base_dir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "sys.path.insert(0, base_dir)\n",
    "from config_path import PROSTATE_DATA_PATH, PLOTS_PATH\n",
    "from data.data_access import Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## get P1000 data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "selected_genes = ['AR', 'TP53', 'MDM4', 'CDK4', 'CDK6', 'CDKN2A', 'RB1']\n",
    "data_params =  {'data_type': ['mut_important', 'cnv_del', 'cnv_amp'],\n",
    "                 'drop_AR': False,\n",
    "                 'cnv_levels': 5,\n",
    "                 'mut_binary': True,\n",
    "                 'balanced_data': False,\n",
    "                 'combine_type': 'union',  # intersection\n",
    "                 'use_coding_genes_only': False,\n",
    "                 'selected_genes': selected_genes}\n",
    "\n",
    "data_access_params= {'id': 'id', 'type': 'prostate_paper', 'params': data_params}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "                      CDKN2A                          TP53                  \\\n",
       "               mut_important cnv_del cnv_amp mut_important cnv_del cnv_amp   \n",
       "00-029N9_LN              0.0     0.0     0.0           0.0     0.5     0.0   \n",
       "01-087MM_BONE            0.0     0.0     0.0           0.0     0.0     0.0   \n",
       "01-095N1_LN              0.0     0.0     0.0           0.0     0.5     0.0   \n",
       "01-120A1_LIVER           0.0     0.0     0.0           0.0     0.5     0.0   \n",
       "02-083E1_LN              0.0     0.0     0.0           0.0     0.0     0.0   \n",
       "\n",
       "                         RB1                            AR   ...            \\\n",
       "               mut_important cnv_del cnv_amp mut_important   ...   cnv_amp   \n",
       "00-029N9_LN              0.0     0.5     0.0           0.0   ...       0.0   \n",
       "01-087MM_BONE            0.0     0.0     0.0           1.0   ...       0.0   \n",
       "01-095N1_LN              0.0     0.5     0.0           0.0   ...       0.0   \n",
       "01-120A1_LIVER           0.0     0.5     0.0           0.0   ...       0.0   \n",
       "02-083E1_LN              0.0     0.5     0.0           0.0   ...       0.5   \n",
       "\n",
       "                        CDK4                          CDK6                  \\\n",
       "               mut_important cnv_del cnv_amp mut_important cnv_del cnv_amp   \n",
       "00-029N9_LN              0.0     0.0     0.0           0.0     0.0     0.0   \n",
       "01-087MM_BONE            0.0     0.0     0.5           0.0     0.0     0.0   \n",
       "01-095N1_LN              0.0     0.0     0.0           0.0     0.0     0.0   \n",
       "01-120A1_LIVER           0.0     0.0     0.0           0.0     0.0     0.0   \n",
       "02-083E1_LN              0.0     0.0     0.0           0.0     0.0     0.0   \n",
       "\n",
       "                        MDM4                  \n",
       "               mut_important cnv_del cnv_amp  \n",
       "00-029N9_LN              0.0     0.0     0.0  \n",
       "01-087MM_BONE            0.0     0.0     0.0  \n",
       "01-095N1_LN              0.0     0.0     0.0  \n",
       "01-120A1_LIVER           0.0     0.0     0.0  \n",
       "02-083E1_LN              0.0     0.0     0.5  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_adapter = Data(**data_access_params)\n",
    "x, y, info, columns = data_adapter.get_data()\n",
    "x_df = pd.DataFrame(x, columns= columns, index= info)\n",
    "x_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7, 1011)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_df_3= x_df.copy()\n",
    "x_df_3[x_df_3<1] = 0 #remove single copy\n",
    "\n",
    "x_df_3 = x_df_3.T.reset_index().groupby('level_0').sum() # all events (OR)\n",
    "x_df_3[x_df_3>0] = 1 # binarize \n",
    "x_df_3.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_df_3_binary = x_df_3.T>0.\n",
    "x_df_3_binary = x_df_3_binary.set_index(selected_genes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_ind = y>0\n",
    "x_df_mets_3 = x_df_3.T[y_ind].T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
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       "      <th>CDKN2A</th>\n",
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       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TP53</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7 rows × 333 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         00-029N9_LN  01-087MM_BONE  01-095N1_LN  01-120A1_LIVER  02-083E1_LN  \\\n",
       "level_0                                                                         \n",
       "AR               0.0            1.0          0.0             0.0          0.0   \n",
       "CDK4             0.0            0.0          0.0             0.0          0.0   \n",
       "CDK6             0.0            0.0          0.0             0.0          0.0   \n",
       "CDKN2A           0.0            0.0          0.0             0.0          0.0   \n",
       "MDM4             0.0            0.0          0.0             0.0          0.0   \n",
       "RB1              0.0            0.0          0.0             0.0          0.0   \n",
       "TP53             0.0            0.0          0.0             0.0          0.0   \n",
       "\n",
       "         03-082H1_LIVER  03-130L_RETROPERITONEAL  03-139E3_RETROPERITONEAL  \\\n",
       "level_0                                                                      \n",
       "AR                  1.0                      0.0                       0.0   \n",
       "CDK4                0.0                      0.0                       0.0   \n",
       "CDK6                0.0                      0.0                       0.0   \n",
       "CDKN2A              0.0                      0.0                       0.0   \n",
       "MDM4                0.0                      0.0                       0.0   \n",
       "RB1                 0.0                      0.0                       0.0   \n",
       "TP53                1.0                      1.0                       0.0   \n",
       "\n",
       "         03-163S4_LIVER  03-192B_LUNG   ...     TP_2032  TP_2034  TP_2054  \\\n",
       "level_0                                 ...                                 \n",
       "AR                  0.0           0.0   ...         1.0      1.0      0.0   \n",
       "CDK4                0.0           0.0   ...         0.0      0.0      0.0   \n",
       "CDK6                0.0           0.0   ...         0.0      0.0      0.0   \n",
       "CDKN2A              0.0           0.0   ...         0.0      0.0      0.0   \n",
       "MDM4                0.0           0.0   ...         0.0      0.0      0.0   \n",
       "RB1                 1.0           1.0   ...         0.0      0.0      0.0   \n",
       "TP53                0.0           0.0   ...         0.0      0.0      0.0   \n",
       "\n",
       "         TP_2060  TP_2061  TP_2064  TP_2069  TP_2077  TP_2078  TP_2079  \n",
       "level_0                                                                 \n",
       "AR           1.0      1.0      1.0      0.0      0.0      0.0      1.0  \n",
       "CDK4         0.0      0.0      0.0      0.0      0.0      0.0      0.0  \n",
       "CDK6         0.0      0.0      0.0      0.0      0.0      0.0      0.0  \n",
       "CDKN2A       0.0      0.0      0.0      0.0      0.0      0.0      0.0  \n",
       "MDM4         0.0      0.0      1.0      0.0      0.0      0.0      0.0  \n",
       "RB1          1.0      1.0      0.0      0.0      0.0      0.0      1.0  \n",
       "TP53         1.0      1.0      1.0      0.0      0.0      0.0      1.0  \n",
       "\n",
       "[7 rows x 333 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_df_mets_3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(333, 7)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_df_mets_3_binary = x_df_mets_3.T>0.\n",
    "x_df_mets_3_binary.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_df_mets_3_binary = x_df_mets_3_binary.set_index(selected_genes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## UpSet plot for all selected genes (mets only 333 samples)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1876.38x600 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "font = {'family' : 'Arial',\n",
    "        'weight' : 'bold',\n",
    "        'size'   : 16}\n",
    "\n",
    "matplotlib.rc('font', **font)\n",
    "\n",
    "upset = UpSet(x_df_mets_3_binary, subset_size='count', intersection_plot_elements=5,  show_counts=True, with_lines=True , element_size=50)\n",
    "upset.plot()\n",
    "plt.savefig('upset_mets_only.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## UpSet plot for all selected genes (all samples)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2076.38x600 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "import matplotlib \n",
    "\n",
    "font = {'family' : 'Arial',\n",
    "        'weight' : 'bold',\n",
    "        'size'   : 16}\n",
    "\n",
    "matplotlib.rc('font', **font)\n",
    "\n",
    "upset = UpSet(x_df_3_binary, subset_size='count', intersection_plot_elements=5, show_counts=True, with_lines=True , element_size=50)\n",
    "upset.plot()\n",
    "plt.savefig('upset_all.png', dpi=200)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## UpSet plot for (AR, TP53, MDM4) (all samples)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [],
   "source": [
    "dd = x_df_3_binary.reset_index().set_index(['AR','TP53','MDM4'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 556.875x400 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "font = {'family' : 'Arial',\n",
    "        'weight' : 'bold',\n",
    "        'size'   : 16}\n",
    "\n",
    "matplotlib.rc('font', **font)\n",
    "\n",
    "upset = UpSet(dd, subset_size='count', intersection_plot_elements=5, show_counts=True, with_lines=True , element_size=50)\n",
    "upset.plot()\n",
    "plt.savefig('ar_tp53_mdm4.png', dpi=200)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 556.875x400 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dd = x_df_mets_3_binary.reset_index().set_index(['AR','TP53','MDM4'])\n",
    "\n",
    "font = {'family' : 'Arial',\n",
    "        'weight' : 'bold',\n",
    "        'size'   : 16}\n",
    "\n",
    "matplotlib.rc('font', **font)\n",
    "\n",
    "upset = UpSet(dd, subset_size='count', intersection_plot_elements=5, show_counts=True, with_lines=True , element_size=50)\n",
    "upset.plot()\n",
    "plt.savefig('ar_tp53_mdm4_mets.png', dpi=200)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## PAN-cancer (MET500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/haithamelmarakeby/PycharmProjects/pnet2/_database/prostate/external_validation/Met500'"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "external_dir = join(PROSTATE_DATA_PATH, 'external_validation/Met500')\n",
    "external_dir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A1BG</th>\n",
       "      <th>A1CF</th>\n",
       "      <th>A2M</th>\n",
       "      <th>A2ML1</th>\n",
       "      <th>A3GALT2</th>\n",
       "      <th>A4GALT</th>\n",
       "      <th>A4GNT</th>\n",
       "      <th>AAAS</th>\n",
       "      <th>AACS</th>\n",
       "      <th>AADAC</th>\n",
       "      <th>...</th>\n",
       "      <th>ZWILCH</th>\n",
       "      <th>ZWINT</th>\n",
       "      <th>ZXDA</th>\n",
       "      <th>ZXDB</th>\n",
       "      <th>ZXDC</th>\n",
       "      <th>ZYG11A</th>\n",
       "      <th>ZYG11B</th>\n",
       "      <th>ZYX</th>\n",
       "      <th>ZZEF1</th>\n",
       "      <th>ZZZ3</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pipeline_ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ES_5001</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ES_5004</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ES_5005</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MO_1001</th>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MO_1002</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 16576 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             A1BG  A1CF  A2M  A2ML1  A3GALT2  A4GALT  A4GNT  AAAS  AACS  \\\n",
       "Pipeline_ID                                                               \n",
       "ES_5001       NaN   NaN  NaN    NaN      NaN     NaN    NaN   NaN   NaN   \n",
       "ES_5004       NaN   NaN  NaN    NaN      NaN     NaN    NaN   NaN   NaN   \n",
       "ES_5005       NaN   NaN  NaN    NaN      NaN     NaN    NaN   NaN   NaN   \n",
       "MO_1001       1.0   NaN  NaN    NaN      NaN     NaN    NaN   NaN   NaN   \n",
       "MO_1002       NaN   NaN  NaN    NaN      NaN     NaN    NaN   NaN   NaN   \n",
       "\n",
       "             AADAC  ...   ZWILCH  ZWINT  ZXDA  ZXDB  ZXDC  ZYG11A  ZYG11B  \\\n",
       "Pipeline_ID         ...                                                     \n",
       "ES_5001        NaN  ...      NaN    NaN   NaN   NaN   NaN     NaN     NaN   \n",
       "ES_5004        NaN  ...      NaN    NaN   NaN   NaN   NaN     NaN     NaN   \n",
       "ES_5005        NaN  ...      NaN    NaN   NaN   NaN   NaN     NaN     NaN   \n",
       "MO_1001        NaN  ...      NaN    NaN   NaN   NaN   NaN     NaN     NaN   \n",
       "MO_1002        NaN  ...      NaN    NaN   NaN   NaN   NaN     NaN     NaN   \n",
       "\n",
       "             ZYX  ZZEF1  ZZZ3  \n",
       "Pipeline_ID                    \n",
       "ES_5001      NaN    NaN   NaN  \n",
       "ES_5004      NaN    NaN   NaN  \n",
       "ES_5005      NaN    NaN   NaN  \n",
       "MO_1001      NaN    NaN   NaN  \n",
       "MO_1002      NaN    1.0   NaN  \n",
       "\n",
       "[5 rows x 16576 columns]"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mut_df_ext = pd.read_csv(join(external_dir, 'Met500_mut_matrix.csv'), index_col=0)\n",
    "mut_df_ext.index = mut_df_ext.index.str.split('.', 1).str[0]\n",
    "mut_df_ext.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AR</th>\n",
       "      <th>TP53</th>\n",
       "      <th>MDM4</th>\n",
       "      <th>CDK4</th>\n",
       "      <th>CDK6</th>\n",
       "      <th>CDKN2A</th>\n",
       "      <th>RB1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pipeline_ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ES_5001</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>ES_5004</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>ES_5005</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MO_1001</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MO_1002</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              AR  TP53  MDM4  CDK4  CDK6  CDKN2A  RB1\n",
       "Pipeline_ID                                          \n",
       "ES_5001      0.0   1.0   0.0   0.0   0.0     0.0  0.0\n",
       "ES_5004      0.0   1.0   0.0   0.0   0.0     0.0  0.0\n",
       "ES_5005      0.0   1.0   0.0   0.0   0.0     0.0  0.0\n",
       "MO_1001      0.0   1.0   0.0   0.0   0.0     0.0  0.0\n",
       "MO_1002      0.0   0.0   0.0   0.0   0.0     0.0  0.0"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mut_df_ext_selected = mut_df_ext.loc[:, selected_genes].copy()\n",
    "mut_df_ext_selected.fillna(0, inplace=True)\n",
    "mut_df_ext_selected.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>gene</th>\n",
       "      <th>AR</th>\n",
       "      <th>TP53</th>\n",
       "      <th>MDM4</th>\n",
       "      <th>CDK4</th>\n",
       "      <th>CDK6</th>\n",
       "      <th>CDKN2A</th>\n",
       "      <th>RB1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ES_5001</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ES_5004</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ES_5005</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MO_1001</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MO_1002</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "gene      AR  TP53  MDM4  CDK4  CDK6  CDKN2A  RB1\n",
       "ES_5001  0.0   0.0   0.0   0.0   0.0     0.0  0.0\n",
       "ES_5004  0.0   0.0   0.0   0.0   0.0     0.0  0.0\n",
       "ES_5005  0.0   0.0   0.0   0.0   0.0     0.0  0.0\n",
       "MO_1001  0.0   0.0   0.0   0.0   0.0     0.0  0.0\n",
       "MO_1002  0.0   0.0   0.0   0.0   1.0     0.0  0.0"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cnv_df_ext = pd.read_csv(join(external_dir, 'Met500_cnv.txt'), sep='\\t', index_col=0)\n",
    "cnv_df_ext_selected = cnv_df_ext.T.loc[:, selected_genes].copy()\n",
    "\n",
    "cnv_df_ext_selected = cnv_df_ext_selected.replace({-1.0: 0., -2.0:1.0, 1.0: 0., 2.0:1.})\n",
    "cnv_df_ext_selected.fillna(0.0, inplace=True)\n",
    "cnv_df_ext_selected.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [],
   "source": [
    "met500_data = pd.concat([mut_df_ext_selected, cnv_df_ext_selected], keys=['mut', 'cnv'], join='inner', axis=1 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7, 500)"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "met500_df_3 = met500_data.T.reset_index().groupby('level_1').sum() # all events (OR)\n",
    "met500_df_3[met500_df_3>0] = 1 # binarize \n",
    "met500_df_3.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Pipeline_ID</th>\n",
       "      <th>ES_5001</th>\n",
       "      <th>ES_5004</th>\n",
       "      <th>ES_5005</th>\n",
       "      <th>MO_1001</th>\n",
       "      <th>MO_1002</th>\n",
       "      <th>MO_1005</th>\n",
       "      <th>MO_1007</th>\n",
       "      <th>MO_1008</th>\n",
       "      <th>MO_1011</th>\n",
       "      <th>MO_1012</th>\n",
       "      <th>...</th>\n",
       "      <th>TP_2109</th>\n",
       "      <th>TP_2118</th>\n",
       "      <th>TP_2119</th>\n",
       "      <th>TP_2120</th>\n",
       "      <th>TP_2122</th>\n",
       "      <th>TP_2123</th>\n",
       "      <th>TP_2130</th>\n",
       "      <th>TP_2131</th>\n",
       "      <th>TP_2141</th>\n",
       "      <th>TP_2156</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>level_1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AR</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CDK4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CDK6</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CDKN2A</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MDM4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 500 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Pipeline_ID  ES_5001  ES_5004  ES_5005  MO_1001  MO_1002  MO_1005  MO_1007  \\\n",
       "level_1                                                                      \n",
       "AR               0.0      0.0      0.0      0.0      0.0      0.0      0.0   \n",
       "CDK4             0.0      0.0      0.0      0.0      0.0      0.0      0.0   \n",
       "CDK6             0.0      0.0      0.0      0.0      1.0      0.0      1.0   \n",
       "CDKN2A           0.0      0.0      0.0      0.0      0.0      0.0      0.0   \n",
       "MDM4             0.0      0.0      0.0      0.0      0.0      0.0      0.0   \n",
       "\n",
       "Pipeline_ID  MO_1008  MO_1011  MO_1012   ...     TP_2109  TP_2118  TP_2119  \\\n",
       "level_1                                  ...                                 \n",
       "AR               0.0      0.0      0.0   ...         0.0      0.0      0.0   \n",
       "CDK4             0.0      0.0      0.0   ...         0.0      0.0      0.0   \n",
       "CDK6             0.0      0.0      0.0   ...         0.0      0.0      0.0   \n",
       "CDKN2A           0.0      0.0      1.0   ...         0.0      1.0      1.0   \n",
       "MDM4             0.0      0.0      0.0   ...         0.0      0.0      0.0   \n",
       "\n",
       "Pipeline_ID  TP_2120  TP_2122  TP_2123  TP_2130  TP_2131  TP_2141  TP_2156  \n",
       "level_1                                                                     \n",
       "AR               0.0      0.0      0.0      0.0      0.0      0.0      0.0  \n",
       "CDK4             0.0      0.0      0.0      0.0      0.0      0.0      0.0  \n",
       "CDK6             0.0      0.0      0.0      0.0      0.0      0.0      0.0  \n",
       "CDKN2A           1.0      1.0      0.0      0.0      1.0      0.0      0.0  \n",
       "MDM4             0.0      0.0      0.0      1.0      0.0      0.0      0.0  \n",
       "\n",
       "[5 rows x 500 columns]"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "met500_df_3.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [],
   "source": [
    "met500_df_3 = met500_df_3.T>0.\n",
    "met500_df_3 = met500_df_3.set_index(selected_genes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2026.38x600 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "font = {'family' : 'Arial',\n",
    "        'weight' : 'bold',\n",
    "        'size'   : 16}\n",
    "\n",
    "matplotlib.rc('font', **font)\n",
    "\n",
    "upset = UpSet(met500_df_3, subset_size='count', intersection_plot_elements=5, show_counts=True, with_lines=True , element_size=50)\n",
    "upset.plot()\n",
    "plt.title('metastatic pan-cacner (500 samples)', fontsize=22)\n",
    "plt.savefig('met500.png', dpi=200)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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